Arboriculture & Urban Forestry 48(6): November 2022 Lukac, Martin. See Schaffert, Emma Martin, Alexander, Chain Saw Chains: Analyzing Sharpening Options and Practices for Operational Efficiency, 233 Martin, Alexander J.F., Accuracy and Precision in Urban Forestry Tools for Estimating Total Tree Height, 319 Martino, Nicholas. See Lu, Yuhao Masini, Emanuela. See Pace, Rocco Matasci, Giona. See Lu, Yuhao McCarty, Justin. See Lu, Yuhao McHale, Melissa R. See Abram, Lauren Z. McNulty, Maggie L. (and L.A. Roman), Forgotten Contributions: The Overlooked Impact of Ellen Harrison and Early 20th Century Women in Urban Greening, 333 mechanistic approaches to assess likelihood of tree failure, 242 Mehmood, Sayeed. See Hoy, Morgan Mercado, Geovana. See Deak Sjöman, Johanna micro-expense analyses of operating decisions, 223 Miesbauer, Jason W. See Salisbury, Allyson B. Monte Carlo–based methodology to assess likelihood of tree failure, 242 multiple regression pavement damages associated with urban trees, 217 nature-based thinking Sustainable Smart Parks framework based on, 60 New Jersey forests photo-based plant identification applications for tree identification in, 27 New York City UGI management by stewards using e-tools in, 124 Nitoslawski, Sophie (and C.C. Koni- jnendijk), The Emergence of Smart Urban Forestry: Challenges and Opportunities in the Digital Age, 45 non-destructive detection instruments for urban forest health survey, 49 Northeast-Midwest region of United States business outlook of private urban forestry in, 278 northern Illinois long-term growth of highway ROW trees in, 293 operational efficiency of chain saw chains, 233 ordered logistic regression model business outlook of private urban forestry, 278 Pace, Rocco (and E. Masini, D. Giuliarelli, L. Biagiola, A. Tomao, G. Guidolotti, M. Agrimi, L. Portoghesi, P. De Angelis, and C. Calfapietra), Tree Measurements in the Urban Environ- ment: Insights from Traditional and Digital Field Instruments to Smart- phone Applications, 113 panoramic streetscape systems for urban forests, 49 Parajuli, Rajan. See Hoy, Morgan parameter estimation in tree risk assessment, 138 patch sustainability patterns in, 74 pavement damages associated with urban trees, quantita- tive tools for prediction of, 217 Pearson’s correlation coefficients impact of UTC on cooling electricity use, 261 Peng, Ping-Hsun. See Chen, Jan-Chang percent error of urban forestry tools for estimating total tree height, 319 perception of SSPM framework, 60 Percival, Glynn. See Schaffert, Emma Philadelphia female advocates for urban greening in, 333 photo-based plant identification applications (apps) accuracy of, 27 Plitt, Sophie (and E. Andersson, and M. Johnson), Assessing the Potential of E-Tools for Knowledge Sharing and Stewardship of Urban Green Infrastructure, 124 Portoghesi, Luigi. See Pace, Rocco precipitation influence on likelihood of tree failure, 242 private green industry businesses business outlook of, 278 private tree removal regulation tree replacement requirement associated with, 9 property-level construction related to likelihood of replacement tree plantation, 9 protruding flares and roots factors affecting presence and magnitude of, 217 Purcell, Lindsey. See Sadof, Clifford quantitative tools for prediction of pavement damages associated with urban trees, 217 radiance daylight simulation engine data shading effect of urban canopy, 95 radio frequency identification (RFID) for urban forest management, 49 Rainbow Ecoscience Q-ConnectTM efficacy to deliver emamectin benzoate, 165 Randrup, Thomas B. See Deak Sjöman, Johanna real-time kinematic (RTK) detection instruments for urban forest management, 49 remote sensing of urban forests, technology challenges and opportunities for, 147 replacement trees residential buildings resilience urban and university forests, 74 Roman, Lara A. See McNulty, Maggie L. root-mean-square error (RMSE) of urban forestry tools for estimating total tree height, 319 ropewalking kernel density plots for, 309 Rose, Gillian. See Schaffert, Emma Rust, Steffen (and B. Stoinski), Using Artificial Intelligence to Assist Tree Risk Assessment, 138 Rysanek, Adam. See Lu, Yuhao Sadof, Clifford (and S. Gula, L. Purcell, and M. Ginzel), Factors Affecting Efficacy of Trunk-Injected Emamec- tin Benzoate to Manage Emerald Ash Borer, 165 saline soils use of biochar in, 176 Salisbury, Allyson B. (and J.W. Miesbauer, and A.K. Koeser), Long-Term Growth of Highway Rights-of-Way Trees, 293 Schaffert, Emma (and M. Lukac, G. Percival, and G. Rose), The Influence of Biochar Soil Amendment on Tree Growth and Soil Quality: A Review for the Arboricultural Industry, 176 Scharenbroch, Bryant C. (and K. Fite, and M. Catania), An Arboriculture Treatment of Biochar, Fertilization, and Tillage Improves Soil Organic Matter and Tree Growth in a health and species of, 9 cooling electricity use, UTC impact on, 261 349 ©2022 International Society of Arboriculture
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